{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 『深度学习7日打卡营』第三课人脸关键点检测总结\n",
    "\n",
    "课程地址：https://aistudio.baidu.com/aistudio/course/introduce/6771\n",
    "\n",
    "## 一、课程总结 \n",
    "\n",
    "## 1.一些基本概念的回顾\n",
    "\n",
    "**什么是人脸关键点检测？** \n",
    "\n",
    "是输入一张人脸图片，模型会返回人脸关键点的一系列坐标，从而定位到人脸的关键信息。\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/b0d8d5ed9d1646899acea372ce6f16626ffb68aa457a40e993c8b6b65cb8a67b)\n",
    "\n",
    "**人脸关键点检测是回归问题还是分类问题？**\n",
    "\n",
    "是回归问题\n",
    "\n",
    "回归问题输出连续值，分类问题输出离散值\n",
    "\n",
    "\n",
    "**常见的人脸识别网络有哪些？**\n",
    "\n",
    "TCDCNN、Look at boundary、PFLD 等\n",
    "\n",
    "## 2.实现模型中的要点\n",
    "\n",
    "### 2.1数据预处理\n",
    "\n",
    "使用`paddle.io.Dataset`来定义数据集\n",
    "\n",
    "使用`paddle.vision.transforms.functional`来完成一些变换：包括灰度化、归一化、重新设置尺寸、随机裁剪，修改通道格式\n",
    "\n",
    "### 2.2模型组建\n",
    "\n",
    "paddle提供了很多种组网的方式，除了直接使用内置模型外，组网还可以使用Subclass和Sequential的方法,，在后面会对比一下\n",
    "\n",
    "第一种方法：\n",
    "\n",
    "```\n",
    "class SimpleNet(nn.Layer):#具体在后面\n",
    "    \n",
    "    def __init__(self, key_pts):\n",
    "\n",
    "    def forward(self, x):\n",
    "    \n",
    "        return x\n",
    "```\n",
    "\n",
    "第二种方法：\n",
    "```\n",
    "SimpleNet2 = paddle.nn.Sequential(\n",
    "    paddle.vision.models.resnet50(pretrained=True),\n",
    "    nn.Linear(in_features=1000, out_features=512),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(in_features=512, out_features=136)\n",
    ")\n",
    "```\n",
    "### 2.3评估指标\n",
    "\n",
    "使用的评估指标并不是常见的accuracy，而是如下的NME\n",
    "\n",
    "<img src=\"图片/NME.png\">\n",
    "\n",
    "### 2.4 损失函数\n",
    "\n",
    "损失函数的选择：L1Loss、L2Loss、SmoothL1Loss，这次的应用中SmoothL1Loss更为合适，在下文中也存在对比\n",
    "\n",
    "就算是使用了指数降低的学习率，L1Loss也很难得到更高的精度\n",
    "\n",
    "### 2.5模型的预测和应用\n",
    "\n",
    "可以用于在检查三次元的人脸，同时也可以依靠关键点的坐标做一些有意思的应用\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# 环境导入\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "\n",
    "import cv2\n",
    "import paddle\n",
    "\n",
    "paddle.set_device('gpu') # 设置为GPU\n",
    "\n",
    "import warnings \n",
    "warnings.filterwarnings('ignore') # 忽略 warning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 二、数据准备"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 下载数据集\n",
    "本次实验所采用的数据集来源为github的[开源项目](https://github.com/udacity/P1_Facial_Keypoints)\n",
    "\n",
    "目前该数据集已上传到 AI Studio [人脸关键点识别](https://aistudio.baidu.com/aistudio/datasetdetail/69065)，加载后可以直接使用下面的命令解压。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "!unzip data/data69065/data.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "解压后的数据集结构为\n",
    "```\n",
    "data/\n",
    "|—— test\n",
    "|   |—— Abdel_Aziz_Al-Hakim_00.jpg\n",
    "    ... ...\n",
    "|—— test_frames_keypoints.csv\n",
    "|—— training\n",
    "|   |—— Abdullah_Gul_10.jpg\n",
    "    ... ...\n",
    "|—— training_frames_keypoints.csv\n",
    "```\n",
    "其中，``training`` 和 ``test`` 文件夹分别存放训练集和测试集。``training_frames_keypoints.csv`` 和 ``test_frames_keypoints.csv`` 存放着训练集和测试集的标签。接下来，我们先来观察一下 ``training_frames_keypoints.csv`` 文件，看一下训练集的标签是如何定义的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of images:  3462\n"
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       "                   Unnamed: 0     0     1     2      3     4      5     6  \\\n",
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       "\n",
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       "\n",
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       "\n",
       "[5 rows x 137 columns]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key_pts_frame = pd.read_csv('data/training_frames_keypoints.csv') # 读取数据集\n",
    "print('Number of images: ', key_pts_frame.shape[0]) # 输出数据集大小\n",
    "key_pts_frame.head(5) # 看前五条数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上表中每一行都代表一条数据，其中，第一列是图片的文件名，之后从第0列到第135列，就是该图的关键点信息。因为每个关键点可以用两个坐标表示，所以 136/2 = 68，就可以看出这个数据集为68点人脸关键点数据集。\n",
    "\n",
    "Tips1: 目前常用的人脸关键点标注，有如下点数的标注\n",
    "- 5点\n",
    "- 21点\n",
    "- 68点\n",
    "- 98点\n",
    "\n",
    "Tips2：本次所采用的68标注，标注顺序如下：\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/a9161a11b91b468497e9fbbf565a0a638ace47b2a6c54748a7bd2e497ea0727f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "标签的均值为: 104.4724870017331\n",
      "标签的标准差为: 43.17302271754281\n"
     ]
    }
   ],
   "source": [
    "# 计算标签的均值和标准差，用于标签的归一化\n",
    "key_pts_values = key_pts_frame.values[:,1:] # 取出标签信息\n",
    "data_mean = key_pts_values.mean() # 计算均值\n",
    "data_std = key_pts_values.std()   # 计算标准差\n",
    "print('标签的均值为:', data_mean)\n",
    "print('标签的标准差为:', data_std)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 查看图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "def show_keypoints(image, key_pts):\n",
    "    \"\"\"\n",
    "    Args:\n",
    "        image: 图像信息\n",
    "        key_pts: 关键点信息，\n",
    "    展示图片和关键点信息\n",
    "    \"\"\"\n",
    "    plt.imshow(image.astype('uint8'))  # 展示图片信息\n",
    "    for i in range(len(key_pts)//2,):\n",
    "        plt.scatter(key_pts[i*2], key_pts[i*2+1], s=20, marker='.', c='b') # 展示关键点信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(136,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 展示单条数据\n",
    "\n",
    "n = 14 # n为数据在表格中的索引 \n",
    "image_name = key_pts_frame.iloc[n, 0] # 获取图像名称\n",
    "key_pts = key_pts_frame.iloc[n, 1:].as_matrix() # 将图像label格式转为numpy.array的格式\n",
    "key_pts = key_pts.astype('float').reshape(-1) # 获取图像关键点信息\n",
    "print(key_pts.shape)\n",
    "plt.figure(figsize=(5, 5)) # 展示的图像大小\n",
    "show_keypoints(mpimg.imread(os.path.join('data/training/', image_name)), key_pts) # 展示图像与关键点信息\n",
    "plt.show() # 展示图像"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 数据集定义"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用飞桨框架高层API的 ``paddle.io.Dataset`` 自定义数据集类，具体可以参考官网文档 [自定义数据集](https://www.paddlepaddle.org.cn/documentation/docs/zh/guides/02_paddle2.0_develop/02_data_load_cn.html#id3)。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# 按照Dataset的使用规范，构建人脸关键点数据集\n",
    "\n",
    "from paddle.io import Dataset\n",
    "\n",
    "class FacialKeypointsDataset(Dataset):\n",
    "    # 人脸关键点数据集\n",
    "    \"\"\"\n",
    "    步骤一：继承paddle.io.Dataset类\n",
    "    \"\"\"\n",
    "    def __init__(self, csv_file, root_dir, transform=None):\n",
    "        \"\"\"\n",
    "        步骤二：实现构造函数，定义数据集大小\n",
    "        Args:\n",
    "            csv_file (string): 带标注的csv文件路径\n",
    "            root_dir (string): 图片存储的文件夹路径\n",
    "            transform (callable, optional): 应用于图像上的数据处理方法\n",
    "        \"\"\"\n",
    "        self.key_pts_frame = pd.read_csv(csv_file) # 读取csv文件\n",
    "        self.root_dir = root_dir # 获取图片文件夹路径\n",
    "        self.transform = transform # 获取 transform 方法\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        \"\"\"\n",
    "        步骤三：实现__getitem__方法，定义指定index时如何获取数据，并返回单条数据（训练数据，对应的标签）\n",
    "        \"\"\"\n",
    "        image_name = os.path.join(self.root_dir,\n",
    "                                self.key_pts_frame.iloc[idx, 0])\n",
    "                                \n",
    "        image = mpimg.imread(image_name)\n",
    "        if(image.shape[2] == 4):\n",
    "            image = image[:,:,0:3]\n",
    "        key_pts = self.key_pts_frame.iloc[idx, 1:].as_matrix()\n",
    "        key_pts = key_pts.astype('float').reshape(-1)\n",
    "\n",
    "        if self.transform:\n",
    "            image, key_pts = self.transform([image, key_pts])\n",
    "        image = np.array(image, dtype='float32')\n",
    "        key_pts = np.array(key_pts, dtype='float32')\n",
    "\n",
    "        # 实现 __getitem__\n",
    "\n",
    "        return image, key_pts\n",
    "\n",
    "    def __len__(self):\n",
    "        \"\"\"\n",
    "        步骤四：实现__len__方法，返回数据集总数目\n",
    "        \"\"\"\n",
    "        return len(self.key_pts_frame) \n",
    "        # 实现 __len__\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4 训练集可视化\n",
    "实例化数据集并显示一些图像。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据集大小为:  3462\n",
      "0 (144, 125, 3) (136,)\n",
      "1 (290, 271, 3) (136,)\n",
      "2 (131, 142, 3) (136,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 构建一个数据集类\n",
    "face_dataset = FacialKeypointsDataset(csv_file='data/training_frames_keypoints.csv',\n",
    "                                      root_dir='data/training/')\n",
    "\n",
    "# 输出数据集大小\n",
    "print('数据集大小为: ', len(face_dataset))\n",
    "# 根据 face_dataset 可视化数据集\n",
    "num_to_display = 3\n",
    "\n",
    "for i in range(num_to_display):\n",
    "    \n",
    "    # 定义图片大小\n",
    "    fig = plt.figure(figsize=(20,10))\n",
    "    \n",
    "    # 随机选择图片\n",
    "    rand_i = np.random.randint(0, len(face_dataset))\n",
    "    sample = face_dataset[rand_i]\n",
    "\n",
    "    # 输出图片大小和关键点的数量\n",
    "    print(i, sample[0].shape, sample[1].shape)\n",
    "\n",
    "    # 设置图片打印信息\n",
    "    ax = plt.subplot(1, num_to_display, i + 1)\n",
    "    ax.set_title('Sample #{}'.format(i))\n",
    "    \n",
    "    # 输出图片\n",
    "    show_keypoints(sample[0], sample[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上述代码虽然完成了数据集的定义，但是还有一些问题，如：\n",
    "- 每张图像的大小不一样，图像大小需要统一以适配网络输入要求\n",
    "- 图像格式需要适配模型的格式输入要求\n",
    "- 数据量比较小，没有进行数据增强\n",
    "\n",
    "这些问题都会影响模型最终的性能，所以需要对数据进行预处理。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.5 Transforms\n",
    "\n",
    "对图像进行预处理，包括灰度化、归一化、重新设置尺寸、随机裁剪，修改通道格式等等，以满足数据要求；每一类的功能如下：\n",
    "- 灰度化：丢弃颜色信息，保留图像边缘信息；识别算法对于颜色的依赖性不强，加上颜色后鲁棒性会下降，而且灰度化图像维度下降（3->1），保留梯度的同时会加快计算。\n",
    "- 归一化：加快收敛\n",
    "- 重新设置尺寸：数据增强\n",
    "- 随机裁剪：数据增强\n",
    "- 修改通道格式：改为模型需要的结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# 标准化自定义 transform 方法\n",
    "\n",
    "class TransformAPI(object):\n",
    "    \"\"\"\n",
    "    步骤一：继承 object 类\n",
    "    \"\"\"\n",
    "    def __call__(self, data):\n",
    "\n",
    "        \"\"\"\n",
    "        步骤二：在 __call__ 中定义数据处理方法\n",
    "        \"\"\"\n",
    "        \n",
    "        processed_data = data\n",
    "        return  processed_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "import paddle.vision.transforms.functional as F\n",
    "\n",
    "class GrayNormalize(object):\n",
    "    # 将图片变为灰度图，并将其值放缩到[0, 1]\n",
    "    # 将 label 放缩到 [-1, 1] 之间\n",
    "\n",
    "    def __call__(self, data):\n",
    "        image = data[0]   # 获取图片\n",
    "        key_pts = data[1] # 获取标签\n",
    "        \n",
    "        image_copy = np.copy(image)\n",
    "        key_pts_copy = np.copy(key_pts)\n",
    "\n",
    "        # 灰度化图片\n",
    "        gray_scale = paddle.vision.transforms.Grayscale(num_output_channels=3)\n",
    "        image_copy = gray_scale(image_copy)\n",
    "        \n",
    "        # 将图片值放缩到 [0, 1]\n",
    "        image_copy = image_copy / 255.0\n",
    "        \n",
    "        # 将坐标点放缩到 [-1, 1]\n",
    "        mean = data_mean # 获取标签均值\n",
    "        std = data_std   # 获取标签标准差\n",
    "        key_pts_copy = (key_pts_copy - mean)/std\n",
    "\n",
    "        return image_copy, key_pts_copy\n",
    "\n",
    "class Resize(object):\n",
    "    # 将输入图像调整为指定大小\n",
    "\n",
    "    def __init__(self, output_size):\n",
    "        assert isinstance(output_size, (int, tuple))\n",
    "        self.output_size = output_size\n",
    "\n",
    "    def __call__(self, data):\n",
    "\n",
    "        image = data[0]    # 获取图片\n",
    "        key_pts = data[1]  # 获取标签\n",
    "\n",
    "        image_copy = np.copy(image)      \n",
    "        key_pts_copy = np.copy(key_pts)\n",
    "\n",
    "        h, w = image_copy.shape[:2]\n",
    "        if isinstance(self.output_size, int):\n",
    "            if h > w:\n",
    "                new_h, new_w = self.output_size * h / w, self.output_size\n",
    "            else:\n",
    "                new_h, new_w = self.output_size, self.output_size * w / h\n",
    "        else:\n",
    "            new_h, new_w = self.output_size\n",
    "\n",
    "        new_h, new_w = int(new_h), int(new_w)\n",
    "\n",
    "        img = F.resize(image_copy, (new_h, new_w))\n",
    "        \n",
    "        # scale the pts, too\n",
    "        key_pts_copy[::2] = key_pts_copy[::2] * new_w / w\n",
    "        key_pts_copy[1::2] = key_pts_copy[1::2] * new_h / h\n",
    "\n",
    "        return img, key_pts_copy\n",
    "\n",
    "\n",
    "class RandomCrop(object):\n",
    "    # 随机位置裁剪输入的图像\n",
    "\n",
    "    def __init__(self, output_size):\n",
    "        assert isinstance(output_size, (int, tuple))\n",
    "        if isinstance(output_size, int):\n",
    "            self.output_size = (output_size, output_size)\n",
    "        else:\n",
    "            assert len(output_size) == 2\n",
    "            self.output_size = output_size\n",
    "\n",
    "    def __call__(self, data):\n",
    "        image = data[0]\n",
    "        key_pts = data[1]\n",
    "\n",
    "        image_copy = np.copy(image)\n",
    "        key_pts_copy = np.copy(key_pts)\n",
    "\n",
    "        h, w = image_copy.shape[:2]\n",
    "        new_h, new_w = self.output_size\n",
    "\n",
    "        top = np.random.randint(0, h - new_h)\n",
    "        left = np.random.randint(0, w - new_w)\n",
    "\n",
    "        image_copy = image_copy[top: top + new_h,\n",
    "                      left: left + new_w]\n",
    "\n",
    "        key_pts_copy[::2] = key_pts_copy[::2] - left\n",
    "        key_pts_copy[1::2] = key_pts_copy[1::2] - top\n",
    "\n",
    "        return image_copy, key_pts_copy\n",
    "\n",
    "class ToCHW(object):\n",
    "    # 将图像的格式由HWC改为CHW\n",
    "    def __call__(self, data):\n",
    "        image = data[0]\n",
    "        key_pts = data[1]\n",
    "\n",
    "        transpose = T.Transpose((2, 0, 1))\n",
    "        image = transpose(image)\n",
    "\n",
    "        \n",
    "        # 实现ToCHW，可以使用 paddle.vision.transforms.Transpose 实现\n",
    "        \n",
    "        return image, key_pts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "看一下每种图像预处理方法的的效果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import paddle.vision.transforms as T\n",
    "\n",
    "# 测试 Resize\n",
    "resize = Resize(256)\n",
    "\n",
    "# 测试 RandomCrop\n",
    "random_crop = RandomCrop(128)\n",
    "\n",
    "# 测试 GrayNormalize\n",
    "norm = GrayNormalize()\n",
    "\n",
    "# 测试 Resize + RandomCrop，图像大小变到250*250， 然后截取出224*224的图像块\n",
    "composed = paddle.vision.transforms.Compose([Resize(250), RandomCrop(224)])\n",
    "\n",
    "test_num = 800 # 测试的数据下标\n",
    "data = face_dataset[test_num]\n",
    "\n",
    "transforms = {'None': None, \n",
    "              'norm': norm,\n",
    "              'random_crop': random_crop,\n",
    "              'resize': resize ,\n",
    "              'composed': composed}\n",
    "for i, func_name in enumerate(['None', 'norm', 'random_crop', 'resize', 'composed']):\n",
    "    \n",
    "    # 定义图片大小\n",
    "    fig = plt.figure(figsize=(20,10))\n",
    "    \n",
    "    # 处理图片\n",
    "    if transforms[func_name] != None:\n",
    "        transformed_sample = transforms[func_name](data)\n",
    "    else:\n",
    "        transformed_sample = data\n",
    "\n",
    "    # 设置图片打印信息\n",
    "    ax = plt.subplot(1, 5, i + 1)\n",
    "    ax.set_title(' Transform is #{}'.format(func_name))\n",
    "    \n",
    "    # 输出图片\n",
    "    show_keypoints(transformed_sample[0], transformed_sample[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.6 使用数据预处理的方式完成数据定义\n",
    "\n",
    "让我们将 ``Resize、RandomCrop、GrayNormalize、ToCHW`` 应用于新的数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of train dataset images:  3462\n",
      "0 (3, 224, 224) (136,)\n",
      "1 (3, 224, 224) (136,)\n",
      "2 (3, 224, 224) (136,)\n",
      "3 (3, 224, 224) (136,)\n",
      "Number of test dataset images:  770\n"
     ]
    }
   ],
   "source": [
    "from paddle.vision.transforms import Compose\n",
    "\n",
    "data_transform = Compose([Resize(256), RandomCrop(224), GrayNormalize(), ToCHW()])\n",
    "\n",
    "# create the transformed dataset\n",
    "train_dataset = FacialKeypointsDataset(csv_file='data/training_frames_keypoints.csv',\n",
    "                                       root_dir='data/training/',\n",
    "                                       transform=data_transform)\n",
    "print('Number of train dataset images: ', len(train_dataset))\n",
    "\n",
    "for i in range(4):\n",
    "    sample = train_dataset[i]\n",
    "    print(i, sample[0].shape, sample[1].shape)\n",
    "\n",
    "test_dataset = FacialKeypointsDataset(csv_file='data/test_frames_keypoints.csv',\n",
    "                                             root_dir='data/test/',\n",
    "                                             transform=data_transform)\n",
    "\n",
    "print('Number of test dataset images: ', len(test_dataset))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  3、模型组建"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 组网可以很简单\n",
    "\n",
    "根据前文的分析可知，人脸关键点检测和分类，可以使用同样的网络结构，如LeNet、Resnet50等完成特征的提取，只是在原来的基础上，需要修改模型的最后部分，将输出调整为 人脸关键点的数量*2，即每个人脸关键点的横坐标与纵坐标，就可以完成人脸关键点检测任务了，具体可以见下面的代码，也可以参考官网案例:[人脸关键点检测](https://www.paddlepaddle.org.cn/documentation/docs/zh/tutorial/cv_case/landmark_detection/landmark_detection.html)\n",
    "\n",
    "网络结构如下：\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/acb845e2651647628e71462e356045dd4fdbdfe570364fe99224af20d39a4576)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 作业3：根据上图，实现网络结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "import paddle.nn as nn\n",
    "from paddle.vision.models import resnet50\n",
    "#方法一：使用subclass组网\n",
    "class SimpleNet(nn.Layer):\n",
    "    \n",
    "    def __init__(self, key_pts):\n",
    "\n",
    "        super(SimpleNet, self).__init__()\n",
    "        self.backbone = paddle.vision.models.resnet50(pretrained=True)\n",
    "        self.linear1 = nn.Linear(in_features=1000, out_features=512)\n",
    "        self.act1 = nn.ReLU()\n",
    "        self.linear2 = nn.Linear(in_features=512, out_features=key_pts*2)\n",
    "\n",
    "\n",
    "\n",
    "        # 实现 __init__\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.backbone(x)\n",
    "        x = self.linear1(x)\n",
    "        x = self.act1(x)\n",
    "        x = self.linear2(x)\n",
    "\n",
    "        # 实现 forward\n",
    "\n",
    "        return x\n",
    "#方法二：使用Sequential组网\n",
    "\n",
    "SimpleNet2 = paddle.nn.Sequential(\n",
    "    paddle.vision.models.resnet50(pretrained=True),\n",
    "    nn.Linear(in_features=1000, out_features=512),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(in_features=512, out_features=136)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 网络结构可视化\n",
    "使用``model.summary``可视化网络结构。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 151272/151272 [00:02<00:00, 55879.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------------------------------------------\n",
      "   Layer (type)         Input Shape          Output Shape         Param #    \n",
      "===============================================================================\n",
      "     Conv2D-1        [[1, 3, 224, 224]]   [1, 64, 112, 112]        9,408     \n",
      "   BatchNorm2D-1    [[1, 64, 112, 112]]   [1, 64, 112, 112]         256      \n",
      "      ReLU-1        [[1, 64, 112, 112]]   [1, 64, 112, 112]          0       \n",
      "    MaxPool2D-1     [[1, 64, 112, 112]]    [1, 64, 56, 56]           0       \n",
      "     Conv2D-3        [[1, 64, 56, 56]]     [1, 64, 56, 56]         4,096     \n",
      "   BatchNorm2D-3     [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "      ReLU-2         [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "     Conv2D-4        [[1, 64, 56, 56]]     [1, 64, 56, 56]        36,864     \n",
      "   BatchNorm2D-4     [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "     Conv2D-5        [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "   BatchNorm2D-5     [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      "     Conv2D-2        [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "   BatchNorm2D-2     [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      " BottleneckBlock-1   [[1, 64, 56, 56]]     [1, 256, 56, 56]          0       \n",
      "     Conv2D-6        [[1, 256, 56, 56]]    [1, 64, 56, 56]        16,384     \n",
      "   BatchNorm2D-6     [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "      ReLU-3         [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "     Conv2D-7        [[1, 64, 56, 56]]     [1, 64, 56, 56]        36,864     \n",
      "   BatchNorm2D-7     [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "     Conv2D-8        [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "   BatchNorm2D-8     [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      " BottleneckBlock-2   [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "     Conv2D-9        [[1, 256, 56, 56]]    [1, 64, 56, 56]        16,384     \n",
      "   BatchNorm2D-9     [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "      ReLU-4         [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "     Conv2D-10       [[1, 64, 56, 56]]     [1, 64, 56, 56]        36,864     \n",
      "  BatchNorm2D-10     [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "     Conv2D-11       [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "  BatchNorm2D-11     [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      " BottleneckBlock-3   [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "     Conv2D-13       [[1, 256, 56, 56]]    [1, 128, 56, 56]       32,768     \n",
      "  BatchNorm2D-13     [[1, 128, 56, 56]]    [1, 128, 56, 56]         512      \n",
      "      ReLU-5         [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-14       [[1, 128, 56, 56]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-14     [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "     Conv2D-15       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-15     [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      "     Conv2D-12       [[1, 256, 56, 56]]    [1, 512, 28, 28]       131,072    \n",
      "  BatchNorm2D-12     [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      " BottleneckBlock-4   [[1, 256, 56, 56]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-16       [[1, 512, 28, 28]]    [1, 128, 28, 28]       65,536     \n",
      "  BatchNorm2D-16     [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "      ReLU-6         [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-17       [[1, 128, 28, 28]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-17     [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "     Conv2D-18       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-18     [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      " BottleneckBlock-5   [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-19       [[1, 512, 28, 28]]    [1, 128, 28, 28]       65,536     \n",
      "  BatchNorm2D-19     [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "      ReLU-7         [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-20       [[1, 128, 28, 28]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-20     [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "     Conv2D-21       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-21     [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      " BottleneckBlock-6   [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-22       [[1, 512, 28, 28]]    [1, 128, 28, 28]       65,536     \n",
      "  BatchNorm2D-22     [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "      ReLU-8         [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-23       [[1, 128, 28, 28]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-23     [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "     Conv2D-24       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-24     [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      " BottleneckBlock-7   [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "     Conv2D-26       [[1, 512, 28, 28]]    [1, 256, 28, 28]       131,072    \n",
      "  BatchNorm2D-26     [[1, 256, 28, 28]]    [1, 256, 28, 28]        1,024     \n",
      "      ReLU-9        [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-27       [[1, 256, 28, 28]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-27     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     Conv2D-28       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-28    [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "     Conv2D-25       [[1, 512, 28, 28]]   [1, 1024, 14, 14]       524,288    \n",
      "  BatchNorm2D-25    [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      " BottleneckBlock-8   [[1, 512, 28, 28]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-29      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-29     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "      ReLU-10       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-30       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-30     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     Conv2D-31       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-31    [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      " BottleneckBlock-9  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-32      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-32     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "      ReLU-11       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-33       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-33     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     Conv2D-34       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-34    [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-10  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-35      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-35     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "      ReLU-12       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-36       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-36     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     Conv2D-37       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-37    [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-11  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-38      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-38     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "      ReLU-13       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-39       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-39     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     Conv2D-40       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-40    [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-12  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-41      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-41     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "      ReLU-14       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-42       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-42     [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     Conv2D-43       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-43    [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-13  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "     Conv2D-45      [[1, 1024, 14, 14]]    [1, 512, 14, 14]       524,288    \n",
      "  BatchNorm2D-45     [[1, 512, 14, 14]]    [1, 512, 14, 14]        2,048     \n",
      "      ReLU-15        [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "     Conv2D-46       [[1, 512, 14, 14]]     [1, 512, 7, 7]       2,359,296   \n",
      "  BatchNorm2D-46      [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "     Conv2D-47        [[1, 512, 7, 7]]     [1, 2048, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-47     [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "     Conv2D-44      [[1, 1024, 14, 14]]    [1, 2048, 7, 7]       2,097,152   \n",
      "  BatchNorm2D-44     [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "BottleneckBlock-14  [[1, 1024, 14, 14]]    [1, 2048, 7, 7]           0       \n",
      "     Conv2D-48       [[1, 2048, 7, 7]]      [1, 512, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-48      [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "      ReLU-16        [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "     Conv2D-49        [[1, 512, 7, 7]]      [1, 512, 7, 7]       2,359,296   \n",
      "  BatchNorm2D-49      [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "     Conv2D-50        [[1, 512, 7, 7]]     [1, 2048, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-50     [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "BottleneckBlock-15   [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "     Conv2D-51       [[1, 2048, 7, 7]]      [1, 512, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-51      [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "      ReLU-17        [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "     Conv2D-52        [[1, 512, 7, 7]]      [1, 512, 7, 7]       2,359,296   \n",
      "  BatchNorm2D-52      [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "     Conv2D-53        [[1, 512, 7, 7]]     [1, 2048, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-53     [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "BottleneckBlock-16   [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "AdaptiveAvgPool2D-1  [[1, 2048, 7, 7]]     [1, 2048, 1, 1]           0       \n",
      "     Linear-1           [[1, 2048]]           [1, 1000]          2,049,000   \n",
      "     ResNet-1        [[1, 3, 224, 224]]       [1, 1000]              0       \n",
      "     Linear-2           [[1, 1000]]            [1, 512]           512,512    \n",
      "      ReLU-18            [[1, 512]]            [1, 512]              0       \n",
      "     Linear-3            [[1, 512]]            [1, 136]           69,768     \n",
      "===============================================================================\n",
      "Total params: 26,192,432\n",
      "Trainable params: 26,086,192\n",
      "Non-trainable params: 106,240\n",
      "-------------------------------------------------------------------------------\n",
      "Input size (MB): 0.57\n",
      "Forward/backward pass size (MB): 261.50\n",
      "Params size (MB): 99.92\n",
      "Estimated Total Size (MB): 361.99\n",
      "-------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'total_params': 26192432, 'trainable_params': 26086192}"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = paddle.Model(SimpleNet(key_pts=68))\n",
    "model.summary((-1, 3, 224, 224))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里对比一下，两种组网方式的结果是一样的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------------------------------------------\n",
      "   Layer (type)         Input Shape          Output Shape         Param #    \n",
      "===============================================================================\n",
      "    Conv2D-266       [[1, 3, 224, 224]]   [1, 64, 112, 112]        9,408     \n",
      "  BatchNorm2D-266   [[1, 64, 112, 112]]   [1, 64, 112, 112]         256      \n",
      "      ReLU-91       [[1, 64, 112, 112]]   [1, 64, 112, 112]          0       \n",
      "    MaxPool2D-6     [[1, 64, 112, 112]]    [1, 64, 56, 56]           0       \n",
      "    Conv2D-268       [[1, 64, 56, 56]]     [1, 64, 56, 56]         4,096     \n",
      "  BatchNorm2D-268    [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "      ReLU-92        [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "    Conv2D-269       [[1, 64, 56, 56]]     [1, 64, 56, 56]        36,864     \n",
      "  BatchNorm2D-269    [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "    Conv2D-270       [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "  BatchNorm2D-270    [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      "    Conv2D-267       [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "  BatchNorm2D-267    [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      "BottleneckBlock-81   [[1, 64, 56, 56]]     [1, 256, 56, 56]          0       \n",
      "    Conv2D-271       [[1, 256, 56, 56]]    [1, 64, 56, 56]        16,384     \n",
      "  BatchNorm2D-271    [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "      ReLU-93        [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "    Conv2D-272       [[1, 64, 56, 56]]     [1, 64, 56, 56]        36,864     \n",
      "  BatchNorm2D-272    [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "    Conv2D-273       [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "  BatchNorm2D-273    [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      "BottleneckBlock-82   [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "    Conv2D-274       [[1, 256, 56, 56]]    [1, 64, 56, 56]        16,384     \n",
      "  BatchNorm2D-274    [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "      ReLU-94        [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "    Conv2D-275       [[1, 64, 56, 56]]     [1, 64, 56, 56]        36,864     \n",
      "  BatchNorm2D-275    [[1, 64, 56, 56]]     [1, 64, 56, 56]          256      \n",
      "    Conv2D-276       [[1, 64, 56, 56]]     [1, 256, 56, 56]       16,384     \n",
      "  BatchNorm2D-276    [[1, 256, 56, 56]]    [1, 256, 56, 56]        1,024     \n",
      "BottleneckBlock-83   [[1, 256, 56, 56]]    [1, 256, 56, 56]          0       \n",
      "    Conv2D-278       [[1, 256, 56, 56]]    [1, 128, 56, 56]       32,768     \n",
      "  BatchNorm2D-278    [[1, 128, 56, 56]]    [1, 128, 56, 56]         512      \n",
      "      ReLU-95        [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-279       [[1, 128, 56, 56]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-279    [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "    Conv2D-280       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-280    [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      "    Conv2D-277       [[1, 256, 56, 56]]    [1, 512, 28, 28]       131,072    \n",
      "  BatchNorm2D-277    [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      "BottleneckBlock-84   [[1, 256, 56, 56]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-281       [[1, 512, 28, 28]]    [1, 128, 28, 28]       65,536     \n",
      "  BatchNorm2D-281    [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "      ReLU-96        [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-282       [[1, 128, 28, 28]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-282    [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "    Conv2D-283       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-283    [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      "BottleneckBlock-85   [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-284       [[1, 512, 28, 28]]    [1, 128, 28, 28]       65,536     \n",
      "  BatchNorm2D-284    [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "      ReLU-97        [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-285       [[1, 128, 28, 28]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-285    [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "    Conv2D-286       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-286    [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      "BottleneckBlock-86   [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-287       [[1, 512, 28, 28]]    [1, 128, 28, 28]       65,536     \n",
      "  BatchNorm2D-287    [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "      ReLU-98        [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-288       [[1, 128, 28, 28]]    [1, 128, 28, 28]       147,456    \n",
      "  BatchNorm2D-288    [[1, 128, 28, 28]]    [1, 128, 28, 28]         512      \n",
      "    Conv2D-289       [[1, 128, 28, 28]]    [1, 512, 28, 28]       65,536     \n",
      "  BatchNorm2D-289    [[1, 512, 28, 28]]    [1, 512, 28, 28]        2,048     \n",
      "BottleneckBlock-87   [[1, 512, 28, 28]]    [1, 512, 28, 28]          0       \n",
      "    Conv2D-291       [[1, 512, 28, 28]]    [1, 256, 28, 28]       131,072    \n",
      "  BatchNorm2D-291    [[1, 256, 28, 28]]    [1, 256, 28, 28]        1,024     \n",
      "      ReLU-99       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-292       [[1, 256, 28, 28]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-292    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "    Conv2D-293       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-293   [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "    Conv2D-290       [[1, 512, 28, 28]]   [1, 1024, 14, 14]       524,288    \n",
      "  BatchNorm2D-290   [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-88   [[1, 512, 28, 28]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-294      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-294    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     ReLU-100       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-295       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-295    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "    Conv2D-296       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-296   [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-89  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-297      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-297    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     ReLU-101       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-298       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-298    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "    Conv2D-299       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-299   [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-90  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-300      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-300    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     ReLU-102       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-301       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-301    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "    Conv2D-302       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-302   [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-91  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-303      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-303    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     ReLU-103       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-304       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-304    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "    Conv2D-305       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-305   [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-92  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-306      [[1, 1024, 14, 14]]    [1, 256, 14, 14]       262,144    \n",
      "  BatchNorm2D-306    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "     ReLU-104       [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-307       [[1, 256, 14, 14]]    [1, 256, 14, 14]       589,824    \n",
      "  BatchNorm2D-307    [[1, 256, 14, 14]]    [1, 256, 14, 14]        1,024     \n",
      "    Conv2D-308       [[1, 256, 14, 14]]   [1, 1024, 14, 14]       262,144    \n",
      "  BatchNorm2D-308   [[1, 1024, 14, 14]]   [1, 1024, 14, 14]        4,096     \n",
      "BottleneckBlock-93  [[1, 1024, 14, 14]]   [1, 1024, 14, 14]          0       \n",
      "    Conv2D-310      [[1, 1024, 14, 14]]    [1, 512, 14, 14]       524,288    \n",
      "  BatchNorm2D-310    [[1, 512, 14, 14]]    [1, 512, 14, 14]        2,048     \n",
      "     ReLU-105        [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "    Conv2D-311       [[1, 512, 14, 14]]     [1, 512, 7, 7]       2,359,296   \n",
      "  BatchNorm2D-311     [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "    Conv2D-312        [[1, 512, 7, 7]]     [1, 2048, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-312    [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "    Conv2D-309      [[1, 1024, 14, 14]]    [1, 2048, 7, 7]       2,097,152   \n",
      "  BatchNorm2D-309    [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "BottleneckBlock-94  [[1, 1024, 14, 14]]    [1, 2048, 7, 7]           0       \n",
      "    Conv2D-313       [[1, 2048, 7, 7]]      [1, 512, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-313     [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "     ReLU-106        [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "    Conv2D-314        [[1, 512, 7, 7]]      [1, 512, 7, 7]       2,359,296   \n",
      "  BatchNorm2D-314     [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "    Conv2D-315        [[1, 512, 7, 7]]     [1, 2048, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-315    [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "BottleneckBlock-95   [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "    Conv2D-316       [[1, 2048, 7, 7]]      [1, 512, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-316     [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "     ReLU-107        [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "    Conv2D-317        [[1, 512, 7, 7]]      [1, 512, 7, 7]       2,359,296   \n",
      "  BatchNorm2D-317     [[1, 512, 7, 7]]      [1, 512, 7, 7]         2,048     \n",
      "    Conv2D-318        [[1, 512, 7, 7]]     [1, 2048, 7, 7]       1,048,576   \n",
      "  BatchNorm2D-318    [[1, 2048, 7, 7]]     [1, 2048, 7, 7]         8,192     \n",
      "BottleneckBlock-96   [[1, 2048, 7, 7]]     [1, 2048, 7, 7]           0       \n",
      "AdaptiveAvgPool2D-6  [[1, 2048, 7, 7]]     [1, 2048, 1, 1]           0       \n",
      "     Linear-16          [[1, 2048]]           [1, 1000]          2,049,000   \n",
      "     ResNet-6        [[1, 3, 224, 224]]       [1, 1000]              0       \n",
      "     Linear-17          [[1, 1000]]            [1, 512]           512,512    \n",
      "     ReLU-108            [[1, 512]]            [1, 512]              0       \n",
      "     Linear-18           [[1, 512]]            [1, 136]           69,768     \n",
      "===============================================================================\n",
      "Total params: 26,192,432\n",
      "Trainable params: 26,086,192\n",
      "Non-trainable params: 106,240\n",
      "-------------------------------------------------------------------------------\n",
      "Input size (MB): 0.57\n",
      "Forward/backward pass size (MB): 261.50\n",
      "Params size (MB): 99.92\n",
      "Estimated Total Size (MB): 361.99\n",
      "-------------------------------------------------------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'total_params': 26192432, 'trainable_params': 26086192}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = paddle.Model(SimpleNet2)\r\n",
    "model.summary((-1, 3, 224, 224))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 四、模型训练\n",
    "\n",
    "### 4.1 模型配置\n",
    "训练模型前，需要设置训练模型所需的优化器，损失函数和评估指标。\n",
    "- 优化器：Adam优化器，快速收敛。\n",
    "- 损失函数：SmoothL1Loss\n",
    "- 评估指标：NME"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 自定义评估指标\n",
    "特定任务的 Metric 计算方式在框架既有的 Metric接口中不存在，或算法不符合自己的需求，那么需要我们自己来进行Metric的自定义。这里介绍如何进行Metric的自定义操作，更多信息可以参考官网文档[自定义Metric](https://www.paddlepaddle.org.cn/documentation/docs/zh/guides/02_paddle2.0_develop/07_customize_cn.html#metric)；首先来看下面的代码。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "from paddle.metric import Metric\n",
    "\n",
    "class NME(Metric):\n",
    "    \"\"\"\n",
    "    1. 继承paddle.metric.Metric\n",
    "    \"\"\"\n",
    "    def __init__(self, name='nme', *args, **kwargs):\n",
    "        \"\"\"\n",
    "        2. 构造函数实现，自定义参数即可\n",
    "        \"\"\"\n",
    "        super(NME, self).__init__(*args, **kwargs)\n",
    "        self._name = name\n",
    "        self.rmse = 0\n",
    "        self.sample_num = 0\n",
    "    \n",
    "    def name(self):\n",
    "        \"\"\"\n",
    "        3. 实现name方法，返回定义的评估指标名字\n",
    "        \"\"\"\n",
    "        return self._name\n",
    "    \n",
    "    def update(self, preds, labels):\n",
    "        \"\"\"\n",
    "        4. 实现update方法，用于单个batch训练时进行评估指标计算。\n",
    "        - 当`compute`类函数未实现时，会将模型的计算输出和标签数据的展平作为`update`的参数传入。\n",
    "        \"\"\"\n",
    "        N = preds.shape[0]\n",
    "\n",
    "        preds = preds.reshape((N, -1, 2))\n",
    "        labels = labels.reshape((N, -1, 2))\n",
    "\n",
    "        self.rmse = 0\n",
    "        \n",
    "        for i in range(N):\n",
    "            pts_pred, pts_gt = preds[i, ], labels[i, ]\n",
    "            interocular = np.linalg.norm(pts_gt[36, ] - pts_gt[45, ])\n",
    "\n",
    "            self.rmse += np.sum(np.linalg.norm(pts_pred - pts_gt, axis=1)) / (interocular * preds.shape[1])\n",
    "            self.sample_num += 1\n",
    "\n",
    "        return self.rmse / N\n",
    "    \n",
    "    def accumulate(self):\n",
    "        \"\"\"\n",
    "        5. 实现accumulate方法，返回历史batch训练积累后计算得到的评价指标值。\n",
    "        每次`update`调用时进行数据积累，`accumulate`计算时对积累的所有数据进行计算并返回。\n",
    "        结算结果会在`fit`接口的训练日志中呈现。\n",
    "        \"\"\"\n",
    "        return self.rmse / self.sample_num\n",
    "    \n",
    "    def reset(self):\n",
    "        \"\"\"\n",
    "        6. 实现reset方法，每个Epoch结束后进行评估指标的重置，这样下个Epoch可以重新进行计算。\n",
    "        \"\"\"\n",
    "        self.rmse = 0\n",
    "        self.sample_num = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The loss value printed in the log is the current step, and the metric is the average value of previous step.\n",
      "Epoch 1/50\n",
      "step 55/55 [==============================] - loss: 0.0353 - nme: 3.6981e-04 - 530ms/step     \n",
      "Epoch 2/50\n",
      "step 55/55 [==============================] - loss: 0.0258 - nme: 3.6162e-04 - 527ms/step     \n",
      "Epoch 3/50\n",
      "step 55/55 [==============================] - loss: 0.1069 - nme: 7.8517e-04 - 528ms/step     \n",
      "Epoch 4/50\n",
      "step 55/55 [==============================] - loss: 0.0681 - nme: 4.4992e-04 - 524ms/step     \n",
      "Epoch 5/50\n",
      "step 55/55 [==============================] - loss: 0.0529 - nme: 5.2850e-04 - 525ms/step     \n",
      "Epoch 6/50\n",
      "step 55/55 [==============================] - loss: 0.0273 - nme: 3.5627e-04 - 524ms/step     \n",
      "Epoch 7/50\n",
      "step 55/55 [==============================] - loss: 0.0437 - nme: 3.7198e-04 - 520ms/step     \n",
      "Epoch 8/50\n",
      "step 55/55 [==============================] - loss: 0.0395 - nme: 4.0133e-04 - 521ms/step     \n",
      "Epoch 9/50\n",
      "step 55/55 [==============================] - loss: 0.0332 - nme: 3.3262e-04 - 518ms/step     \n",
      "Epoch 10/50\n",
      "step 55/55 [==============================] - loss: 0.0327 - nme: 3.9074e-04 - 520ms/step     \n",
      "Epoch 11/50\n",
      "step 55/55 [==============================] - loss: 0.0168 - nme: 2.5857e-04 - 526ms/step     \n",
      "Epoch 12/50\n",
      "step 55/55 [==============================] - loss: 0.0965 - nme: 7.3717e-04 - 534ms/step     \n",
      "Epoch 13/50\n",
      "step 55/55 [==============================] - loss: 0.0364 - nme: 4.4464e-04 - 530ms/step     \n",
      "Epoch 14/50\n",
      "step 55/55 [==============================] - loss: 0.0344 - nme: 4.6727e-04 - 528ms/step     \n",
      "Epoch 15/50\n",
      "step 55/55 [==============================] - loss: 0.0226 - nme: 3.7188e-04 - 526ms/step     \n",
      "Epoch 16/50\n",
      "step 55/55 [==============================] - loss: 0.0659 - nme: 5.5574e-04 - 526ms/step     \n",
      "Epoch 17/50\n",
      "step 55/55 [==============================] - loss: 0.0374 - nme: 3.4946e-04 - 527ms/step     \n",
      "Epoch 18/50\n",
      "step 55/55 [==============================] - loss: 0.0177 - nme: 2.5989e-04 - 526ms/step     \n",
      "Epoch 19/50\n",
      "step 55/55 [==============================] - loss: 0.0562 - nme: 4.4029e-04 - 527ms/step     \n",
      "Epoch 20/50\n",
      "step 55/55 [==============================] - loss: 0.0498 - nme: 4.5904e-04 - 528ms/step     \n",
      "Epoch 21/50\n",
      "step 55/55 [==============================] - loss: 0.0401 - nme: 4.1637e-04 - 528ms/step     \n",
      "Epoch 22/50\n",
      "step 55/55 [==============================] - loss: 0.0366 - nme: 4.5530e-04 - 527ms/step     \n",
      "Epoch 23/50\n",
      "step 55/55 [==============================] - loss: 0.0314 - nme: 3.8528e-04 - 524ms/step     \n",
      "Epoch 24/50\n",
      "step 55/55 [==============================] - loss: 0.0285 - nme: 4.0543e-04 - 526ms/step     \n",
      "Epoch 25/50\n",
      "step 55/55 [==============================] - loss: 0.0666 - nme: 5.5457e-04 - 523ms/step     \n",
      "Epoch 26/50\n",
      "step 55/55 [==============================] - loss: 0.0990 - nme: 7.2515e-04 - 527ms/step     \n",
      "Epoch 27/50\n",
      "step 55/55 [==============================] - loss: 0.0487 - nme: 4.8783e-04 - 528ms/step     \n",
      "Epoch 28/50\n",
      "step 55/55 [==============================] - loss: 0.0290 - nme: 3.7237e-04 - 526ms/step     \n",
      "Epoch 29/50\n",
      "step 55/55 [==============================] - loss: 0.0366 - nme: 3.9827e-04 - 523ms/step     \n",
      "Epoch 30/50\n",
      "step 55/55 [==============================] - loss: 0.0654 - nme: 5.8775e-04 - 530ms/step     \n",
      "Epoch 31/50\n",
      "step 55/55 [==============================] - loss: 0.0636 - nme: 5.5813e-04 - 526ms/step     \n",
      "Epoch 32/50\n",
      "step 55/55 [==============================] - loss: 0.0191 - nme: 2.5550e-04 - 523ms/step     \n",
      "Epoch 33/50\n",
      "step 55/55 [==============================] - loss: 0.0331 - nme: 4.9105e-04 - 528ms/step     \n",
      "Epoch 34/50\n",
      "step 55/55 [==============================] - loss: 0.0301 - nme: 3.7765e-04 - 525ms/step     \n",
      "Epoch 35/50\n",
      "step 55/55 [==============================] - loss: 0.0176 - nme: 2.7377e-04 - 524ms/step     \n",
      "Epoch 36/50\n",
      "step 55/55 [==============================] - loss: 0.0267 - nme: 4.1016e-04 - 525ms/step     \n",
      "Epoch 37/50\n",
      "step 55/55 [==============================] - loss: 0.0166 - nme: 2.7747e-04 - 526ms/step     \n",
      "Epoch 38/50\n",
      "step 55/55 [==============================] - loss: 0.0286 - nme: 3.7183e-04 - 525ms/step     \n",
      "Epoch 39/50\n",
      "step 55/55 [==============================] - loss: 0.3937 - nme: 0.0013 - 529ms/step         \n",
      "Epoch 40/50\n",
      "step 55/55 [==============================] - loss: 0.0322 - nme: 4.7078e-04 - 527ms/step     \n",
      "Epoch 41/50\n",
      "step 55/55 [==============================] - loss: 0.0454 - nme: 4.7444e-04 - 528ms/step     \n",
      "Epoch 42/50\n",
      "step 55/55 [==============================] - loss: 0.0447 - nme: 4.6636e-04 - 527ms/step     \n",
      "Epoch 43/50\n",
      "step 55/55 [==============================] - loss: 0.0377 - nme: 4.4353e-04 - 522ms/step     \n",
      "Epoch 44/50\n",
      "step 55/55 [==============================] - loss: 0.0262 - nme: 3.7900e-04 - 523ms/step     \n",
      "Epoch 45/50\n",
      "step 55/55 [==============================] - loss: 0.0577 - nme: 5.4725e-04 - 526ms/step     \n",
      "Epoch 46/50\n",
      "step 55/55 [==============================] - loss: 0.0664 - nme: 4.6306e-04 - 530ms/step     \n",
      "Epoch 47/50\n",
      "step 55/55 [==============================] - loss: 0.0214 - nme: 2.8955e-04 - 527ms/step     \n",
      "Epoch 48/50\n",
      "step 55/55 [==============================] - loss: 0.0474 - nme: 4.2556e-04 - 527ms/step     \n",
      "Epoch 49/50\n",
      "step 55/55 [==============================] - loss: 0.0162 - nme: 2.2780e-04 - 525ms/step     \n",
      "Epoch 50/50\n",
      "step 55/55 [==============================] - loss: 0.0377 - nme: 4.3547e-04 - 526ms/step     \n"
     ]
    }
   ],
   "source": [
    "# 使用 paddle.Model 封装模型\n",
    "model = paddle.Model(SimpleNet(key_pts=68))\n",
    "\n",
    "# 定义Adam优化器\n",
    "optimizer = paddle.optimizer.Adam(learning_rate=0.001,\n",
    "                                weight_decay=5e-4,\n",
    "                                parameters=model.parameters())\n",
    "\n",
    "# 定义SmoothL1Loss\n",
    "loss = nn.SmoothL1Loss()\n",
    "\n",
    "# 使用自定义metrics\n",
    "metric = NME()\n",
    "\n",
    "# 配置模型\n",
    "model.prepare(optimizer=optimizer, loss=loss, metrics=metric)\n",
    "\n",
    "# 模型训练\n",
    "model.fit(train_dataset, epochs=50, batch_size=64, verbose=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**这里测试一下可变学习率，发现进步不大**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The loss value printed in the log is the current step, and the metric is the average value of previous step.\n",
      "Epoch 1/50\n",
      "step 55/55 [==============================] - loss: 0.0754 - nme: 5.0250e-04 - 531ms/step     \n",
      "Epoch 2/50\n",
      "step 55/55 [==============================] - loss: 0.0559 - nme: 5.3020e-04 - 504ms/step     \n",
      "Epoch 3/50\n",
      "step 55/55 [==============================] - loss: 0.0453 - nme: 4.7350e-04 - 513ms/step     \n",
      "Epoch 4/50\n",
      "step 55/55 [==============================] - loss: 0.0485 - nme: 4.6224e-04 - 502ms/step     \n",
      "Epoch 5/50\n",
      "step 55/55 [==============================] - loss: 0.0583 - nme: 4.8245e-04 - 507ms/step     \n",
      "Epoch 6/50\n",
      "step 55/55 [==============================] - loss: 0.0951 - nme: 6.9551e-04 - 521ms/step     \n",
      "Epoch 7/50\n",
      "step 55/55 [==============================] - loss: 0.1315 - nme: 5.9441e-04 - 521ms/step     \n",
      "Epoch 8/50\n",
      "step 55/55 [==============================] - loss: 0.0760 - nme: 5.3138e-04 - 520ms/step     \n",
      "Epoch 9/50\n",
      "step 55/55 [==============================] - loss: 0.1355 - nme: 7.1736e-04 - 524ms/step     \n",
      "Epoch 10/50\n",
      "step 55/55 [==============================] - loss: 0.0586 - nme: 5.2314e-04 - 514ms/step     \n",
      "Epoch 11/50\n",
      "step 55/55 [==============================] - loss: 0.0840 - nme: 6.4419e-04 - 546ms/step     \n",
      "Epoch 12/50\n",
      "step 55/55 [==============================] - loss: 0.0889 - nme: 7.4064e-04 - 534ms/step     \n",
      "Epoch 13/50\n",
      "step 55/55 [==============================] - loss: 0.0608 - nme: 5.6016e-04 - 522ms/step     \n",
      "Epoch 14/50\n",
      "step 55/55 [==============================] - loss: 0.0431 - nme: 4.9108e-04 - 548ms/step     \n",
      "Epoch 15/50\n",
      "step 55/55 [==============================] - loss: 0.0411 - nme: 5.0643e-04 - 518ms/step     \n",
      "Epoch 16/50\n",
      "step 55/55 [==============================] - loss: 0.0500 - nme: 4.7884e-04 - 520ms/step     \n",
      "Epoch 17/50\n",
      "step 55/55 [==============================] - loss: 0.1140 - nme: 6.6830e-04 - 508ms/step     \n",
      "Epoch 18/50\n",
      "step 55/55 [==============================] - loss: 0.0643 - nme: 5.0841e-04 - 510ms/step     \n",
      "Epoch 19/50\n",
      "step 55/55 [==============================] - loss: 0.1254 - nme: 7.6930e-04 - 517ms/step     \n",
      "Epoch 20/50\n",
      "step 55/55 [==============================] - loss: 0.1224 - nme: 7.4985e-04 - 511ms/step     \n",
      "Epoch 21/50\n",
      "step 55/55 [==============================] - loss: 0.0692 - nme: 5.2938e-04 - 526ms/step     \n",
      "Epoch 22/50\n",
      "step 55/55 [==============================] - loss: 0.0736 - nme: 6.3153e-04 - 511ms/step     \n",
      "Epoch 23/50\n",
      "step 55/55 [==============================] - loss: 0.0808 - nme: 5.5721e-04 - 515ms/step     \n",
      "Epoch 24/50\n",
      "step 55/55 [==============================] - loss: 0.0635 - nme: 5.7943e-04 - 514ms/step     \n",
      "Epoch 25/50\n",
      "step 55/55 [==============================] - loss: 0.0680 - nme: 5.3400e-04 - 509ms/step     \n",
      "Epoch 26/50\n",
      "step 55/55 [==============================] - loss: 0.1287 - nme: 7.8962e-04 - 513ms/step     \n",
      "Epoch 27/50\n",
      "step 55/55 [==============================] - loss: 0.1388 - nme: 6.8873e-04 - 507ms/step     \n",
      "Epoch 28/50\n",
      "step 55/55 [==============================] - loss: 0.0962 - nme: 7.0941e-04 - 504ms/step     \n",
      "Epoch 29/50\n",
      "step 55/55 [==============================] - loss: 0.0405 - nme: 4.0084e-04 - 510ms/step     \n",
      "Epoch 30/50\n",
      "step 55/55 [==============================] - loss: 0.0384 - nme: 4.4108e-04 - 504ms/step     \n",
      "Epoch 31/50\n",
      "step 55/55 [==============================] - loss: 0.0705 - nme: 5.5241e-04 - 512ms/step     \n",
      "Epoch 32/50\n",
      "step 55/55 [==============================] - loss: 0.1049 - nme: 6.0281e-04 - 519ms/step     \n",
      "Epoch 33/50\n",
      "step 55/55 [==============================] - loss: 0.1110 - nme: 8.5904e-04 - 512ms/step     \n",
      "Epoch 34/50\n",
      "step 55/55 [==============================] - loss: 0.1021 - nme: 7.1129e-04 - 519ms/step     \n",
      "Epoch 35/50\n",
      "step 55/55 [==============================] - loss: 0.0678 - nme: 5.7408e-04 - 519ms/step     \n",
      "Epoch 36/50\n",
      "step 55/55 [==============================] - loss: 0.1136 - nme: 9.1491e-04 - 523ms/step     \n",
      "Epoch 37/50\n",
      "step 55/55 [==============================] - loss: 0.0861 - nme: 6.4023e-04 - 512ms/step     \n",
      "Epoch 38/50\n",
      "step 55/55 [==============================] - loss: 0.0531 - nme: 5.1492e-04 - 516ms/step     \n",
      "Epoch 39/50\n",
      "step 55/55 [==============================] - loss: 0.2996 - nme: 0.0012 - 509ms/step         \n",
      "Epoch 40/50\n",
      "step 55/55 [==============================] - loss: 0.1156 - nme: 8.5262e-04 - 551ms/step     \n",
      "Epoch 41/50\n",
      "step 55/55 [==============================] - loss: 0.1135 - nme: 6.3459e-04 - 511ms/step     \n",
      "Epoch 42/50\n",
      "step 55/55 [==============================] - loss: 0.2253 - nme: 0.0011 - 514ms/step         \n",
      "Epoch 43/50\n",
      "step 55/55 [==============================] - loss: 0.0646 - nme: 5.6592e-04 - 512ms/step     \n",
      "Epoch 44/50\n",
      "step 55/55 [==============================] - loss: 0.0654 - nme: 6.2764e-04 - 594ms/step     \n",
      "Epoch 45/50\n",
      "step 55/55 [==============================] - loss: 0.1006 - nme: 7.3845e-04 - 534ms/step     \n",
      "Epoch 46/50\n",
      "step 55/55 [==============================] - loss: 0.0662 - nme: 5.1908e-04 - 520ms/step     \n",
      "Epoch 47/50\n",
      "step 55/55 [==============================] - loss: 0.0405 - nme: 3.9541e-04 - 520ms/step     \n",
      "Epoch 48/50\n",
      "step 55/55 [==============================] - loss: 0.0559 - nme: 4.4300e-04 - 524ms/step     \n",
      "Epoch 49/50\n",
      "step 55/55 [==============================] - loss: 0.0894 - nme: 6.3644e-04 - 515ms/step     \n",
      "Epoch 50/50\n",
      "step 55/55 [==============================] - loss: 0.0467 - nme: 4.5863e-04 - 523ms/step     \n"
     ]
    }
   ],
   "source": [
    "# 使用 paddle.Model 封装模型\r\n",
    "model = paddle.Model(SimpleNet(key_pts=68))\r\n",
    "\r\n",
    "# 定义Adam优化器\r\n",
    "Lr=paddle.optimizer.lr.ExponentialDecay(learning_rate=0.001,gamma=0.9)\r\n",
    "\r\n",
    "optimizer = paddle.optimizer.Adam(learning_rate=Lr,\r\n",
    "                                weight_decay=5e-4,\r\n",
    "                                parameters=model.parameters())\r\n",
    "\r\n",
    "# 定义SmoothL1Loss\r\n",
    "loss = nn.SmoothL1Loss()\r\n",
    "\r\n",
    "# 使用自定义metrics\r\n",
    "metric = NME()\r\n",
    "\r\n",
    "# 配置模型\r\n",
    "model.prepare(optimizer=optimizer, loss=loss, metrics=metric)\r\n",
    "\r\n",
    "# 模型训练\r\n",
    "model.fit(train_dataset, epochs=50, batch_size=64, verbose=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**这里用可变学习率和L1loss直接使用，果然不收敛**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The loss value printed in the log is the current step, and the metric is the average value of previous step.\n",
      "Epoch 1/50\n",
      "step 55/55 [==============================] - loss: 0.6020 - nme: 0.0011 - 566ms/step         \n",
      "Epoch 2/50\n",
      "step 55/55 [==============================] - loss: 0.5481 - nme: 0.0011 - 530ms/step         \n",
      "Epoch 3/50\n",
      "step 55/55 [==============================] - loss: 0.5991 - nme: 0.0012 - 522ms/step         \n",
      "Epoch 4/50\n",
      "step 55/55 [==============================] - loss: 0.4680 - nme: 8.5499e-04 - 564ms/step     \n",
      "Epoch 5/50\n",
      "step 55/55 [==============================] - loss: 0.5015 - nme: 9.2787e-04 - 527ms/step     \n",
      "Epoch 6/50\n",
      "step 55/55 [==============================] - loss: 0.5518 - nme: 0.0011 - 549ms/step         \n",
      "Epoch 7/50\n",
      "step 55/55 [==============================] - loss: 0.6778 - nme: 0.0012 - 561ms/step         \n",
      "Epoch 8/50\n",
      "step 55/55 [==============================] - loss: 0.6046 - nme: 0.0010 - 520ms/step         \n",
      "Epoch 9/50\n",
      "step 55/55 [==============================] - loss: 0.6952 - nme: 0.0011 - 559ms/step         \n",
      "Epoch 10/50\n",
      "step 55/55 [==============================] - loss: 0.4840 - nme: 9.2057e-04 - 530ms/step     \n",
      "Epoch 11/50\n",
      "step 55/55 [==============================] - loss: 0.4840 - nme: 9.1130e-04 - 516ms/step     \n",
      "Epoch 12/50\n",
      "step 55/55 [==============================] - loss: 0.5595 - nme: 0.0012 - 563ms/step         \n",
      "Epoch 13/50\n",
      "step 55/55 [==============================] - loss: 0.5958 - nme: 0.0011 - 522ms/step         \n",
      "Epoch 14/50\n",
      "step 55/55 [==============================] - loss: 0.6266 - nme: 0.0013 - 537ms/step         \n",
      "Epoch 15/50\n",
      "step 55/55 [==============================] - loss: 0.5014 - nme: 0.0011 - 513ms/step         \n",
      "Epoch 16/50\n",
      "step 55/55 [==============================] - loss: 0.4901 - nme: 8.8472e-04 - 512ms/step     \n",
      "Epoch 17/50\n",
      "step 55/55 [==============================] - loss: 0.4753 - nme: 8.9780e-04 - 521ms/step     \n",
      "Epoch 18/50\n",
      "step 55/55 [==============================] - loss: 0.5859 - nme: 0.0010 - 519ms/step         \n",
      "Epoch 19/50\n",
      "step 55/55 [==============================] - loss: 0.5989 - nme: 0.0012 - 537ms/step         \n",
      "Epoch 20/50\n",
      "step 55/55 [==============================] - loss: 0.5550 - nme: 9.7137e-04 - 527ms/step     \n",
      "Epoch 21/50\n",
      "step 55/55 [==============================] - loss: 0.5472 - nme: 9.6835e-04 - 524ms/step     \n",
      "Epoch 22/50\n",
      "step 55/55 [==============================] - loss: 0.6621 - nme: 0.0014 - 524ms/step         \n",
      "Epoch 23/50\n",
      "step 55/55 [==============================] - loss: 0.5018 - nme: 9.2144e-04 - 517ms/step     \n",
      "Epoch 24/50\n",
      "step 55/55 [==============================] - loss: 0.5165 - nme: 0.0011 - 517ms/step         \n",
      "Epoch 25/50\n",
      "step 55/55 [==============================] - loss: 0.4735 - nme: 8.1637e-04 - 519ms/step     \n",
      "Epoch 26/50\n",
      "step 55/55 [==============================] - loss: 0.7552 - nme: 0.0015 - 514ms/step         \n",
      "Epoch 27/50\n",
      "step 55/55 [==============================] - loss: 0.5267 - nme: 9.6626e-04 - 511ms/step     \n",
      "Epoch 28/50\n",
      "step 55/55 [==============================] - loss: 0.5141 - nme: 0.0010 - 519ms/step         \n",
      "Epoch 29/50\n",
      "step 55/55 [==============================] - loss: 0.5430 - nme: 9.7256e-04 - 509ms/step     \n",
      "Epoch 30/50\n",
      "step 55/55 [==============================] - loss: 0.4476 - nme: 8.8348e-04 - 511ms/step     \n",
      "Epoch 31/50\n",
      "step 55/55 [==============================] - loss: 0.5953 - nme: 0.0011 - 519ms/step         \n",
      "Epoch 32/50\n",
      "step 55/55 [==============================] - loss: 0.5072 - nme: 8.6607e-04 - 509ms/step     \n",
      "Epoch 33/50\n",
      "step 55/55 [==============================] - loss: 0.5608 - nme: 0.0012 - 514ms/step         \n",
      "Epoch 34/50\n",
      "step 55/55 [==============================] - loss: 0.4465 - nme: 8.5766e-04 - 511ms/step     \n",
      "Epoch 35/50\n",
      "step 55/55 [==============================] - loss: 0.5724 - nme: 0.0011 - 522ms/step         \n",
      "Epoch 36/50\n",
      "step 55/55 [==============================] - loss: 0.5502 - nme: 0.0012 - 533ms/step         \n",
      "Epoch 37/50\n",
      "step 55/55 [==============================] - loss: 0.5108 - nme: 9.6961e-04 - 518ms/step     \n",
      "Epoch 38/50\n",
      "step 55/55 [==============================] - loss: 0.4824 - nme: 9.2056e-04 - 520ms/step     \n",
      "Epoch 39/50\n",
      "step 55/55 [==============================] - loss: 0.6346 - nme: 0.0013 - 510ms/step         \n",
      "Epoch 40/50\n",
      "step 55/55 [==============================] - loss: 0.4956 - nme: 0.0011 - 523ms/step         \n",
      "Epoch 41/50\n",
      "step 55/55 [==============================] - loss: 0.5167 - nme: 9.2909e-04 - 519ms/step     \n",
      "Epoch 42/50\n",
      "step 55/55 [==============================] - loss: 0.4713 - nme: 8.8074e-04 - 511ms/step     \n",
      "Epoch 43/50\n",
      "step 55/55 [==============================] - loss: 0.5171 - nme: 9.6336e-04 - 518ms/step     \n",
      "Epoch 44/50\n",
      "step 55/55 [==============================] - loss: 0.5132 - nme: 0.0011 - 518ms/step         \n",
      "Epoch 45/50\n",
      "step 55/55 [==============================] - loss: 0.5450 - nme: 0.0010 - 516ms/step         \n",
      "Epoch 46/50\n",
      "step 55/55 [==============================] - loss: 0.6958 - nme: 0.0012 - 515ms/step         \n",
      "Epoch 47/50\n",
      "step 55/55 [==============================] - loss: 0.5695 - nme: 9.5941e-04 - 564ms/step     \n",
      "Epoch 48/50\n",
      "step 55/55 [==============================] - loss: 0.5829 - nme: 9.7677e-04 - 510ms/step     \n",
      "Epoch 49/50\n",
      "step 55/55 [==============================] - loss: 0.6979 - nme: 0.0013 - 517ms/step         \n",
      "Epoch 50/50\n",
      "step 55/55 [==============================] - loss: 0.5560 - nme: 0.0011 - 518ms/step         \n"
     ]
    }
   ],
   "source": [
    "# 使用 paddle.Model 封装模型\r\n",
    "model = paddle.Model(SimpleNet(key_pts=68))\r\n",
    "\r\n",
    "# 定义Adam优化器\r\n",
    "Lr=paddle.optimizer.lr.ExponentialDecay(learning_rate=0.0005,gamma=0.7)\r\n",
    "\r\n",
    "optimizer = paddle.optimizer.Adam(learning_rate=Lr,\r\n",
    "                                weight_decay=5e-4,\r\n",
    "                                parameters=model.parameters())\r\n",
    "\r\n",
    "# 定义SmoothL1Loss\r\n",
    "loss = nn.L1Loss()\r\n",
    "\r\n",
    "# 使用自定义metrics\r\n",
    "metric = NME()\r\n",
    "\r\n",
    "# 配置模型\r\n",
    "model.prepare(optimizer=optimizer, loss=loss, metrics=metric)\r\n",
    "\r\n",
    "# 模型训练\r\n",
    "model.fit(train_dataset, epochs=50, batch_size=64, verbose=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**损失函数的选择**：L1Loss、L2Loss、SmoothL1Loss的对比\n",
    "- L1Loss: 在训练后期，预测值与ground-truth差异较小时， 损失对预测值的导数的绝对值仍然为1，此时如果学习率不变，损失函数将在稳定值附近波动，难以继续收敛达到更高精度。\n",
    "- L2Loss: 在训练初期，预测值与ground-truth差异较大时，损失函数对预测值的梯度十分大，导致训练不稳定。\n",
    "- SmoothL1Loss:  在x较小时，对x梯度也会变小，而在x很大时，对x的梯度的绝对值达到上限 1，也不会太大以至于破坏网络参数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 模型训练"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.3 模型保存"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "checkpoints_path = './checkpoints/models'\n",
    "model.save(checkpoints_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 五、模型预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# 定义功能函数\n",
    "\n",
    "def show_all_keypoints(image, predicted_key_pts):\n",
    "    \"\"\"\n",
    "    展示图像，预测关键点\n",
    "    Args：\n",
    "        image：裁剪后的图像 [224, 224, 3]\n",
    "        predicted_key_pts: 预测关键点的坐标\n",
    "    \"\"\"\n",
    "    # 展示图像\n",
    "    plt.imshow(image.astype('uint8'))\n",
    "\n",
    "    # 展示关键点\n",
    "    for i in range(0, len(predicted_key_pts), 2):\n",
    "        plt.scatter(predicted_key_pts[i], predicted_key_pts[i+1], s=20, marker='.', c='m')\n",
    "\n",
    "def visualize_output(test_images, test_outputs, batch_size=1, h=20, w=10):\n",
    "    \"\"\"\n",
    "    展示图像，预测关键点\n",
    "    Args：\n",
    "        test_images：裁剪后的图像 [224, 224, 3]\n",
    "        test_outputs: 模型的输出\n",
    "        batch_size: 批大小\n",
    "        h: 展示的图像高\n",
    "        w: 展示的图像宽\n",
    "    \"\"\"\n",
    "\n",
    "    if len(test_images.shape) == 3:\n",
    "        test_images = np.array([test_images])\n",
    "\n",
    "    for i in range(batch_size):\n",
    "\n",
    "        plt.figure(figsize=(h, w))\n",
    "        ax = plt.subplot(1, batch_size, i+1)\n",
    "\n",
    "        # 随机裁剪后的图像\n",
    "        image = test_images[i]\n",
    "\n",
    "        # 模型的输出，未还原的预测关键点坐标值\n",
    "        predicted_key_pts = test_outputs[i]\n",
    "\n",
    "        # 还原后的真实的关键点坐标值\n",
    "        predicted_key_pts = predicted_key_pts * data_std + data_mean\n",
    "        \n",
    "        # 展示图像和关键点\n",
    "        show_all_keypoints(np.squeeze(image), predicted_key_pts)\n",
    "            \n",
    "        plt.axis('off')\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 读取图像\n",
    "img = mpimg.imread('Suzumiya.jpg')\n",
    "\n",
    "# 关键点占位符\n",
    "kpt = np.ones((136, 1))\n",
    "\n",
    "transform = Compose([Resize(256), RandomCrop(224)])\n",
    "\n",
    "# 对图像先重新定义大小，并裁剪到 224*224的大小\n",
    "rgb_img, kpt = transform([img, kpt])\n",
    "\n",
    "norm = GrayNormalize()\n",
    "to_chw = ToCHW()\n",
    "\n",
    "# 对图像进行归一化和格式变换\n",
    "img, kpt = norm([rgb_img, kpt])\n",
    "img, kpt = to_chw([img, kpt])\n",
    "\n",
    "img = np.array([img], dtype='float32')\n",
    "\n",
    "# 加载保存好的模型进行预测\n",
    "model = paddle.Model(SimpleNet(key_pts=68))\n",
    "model.load(checkpoints_path)\n",
    "model.prepare()\n",
    "\n",
    "# 预测结果\n",
    "out = model.predict_batch([img])\n",
    "out = out[0].reshape((out[0].shape[0], 136, -1))\n",
    "\n",
    "# 可视化\n",
    "visualize_output(rgb_img, out, batch_size=1)\n",
    "\n",
    "#这里看出来识别结果不是很准，但还算是识别出了一点\n",
    "#首先动漫人物并没有做过迁移学习，其次，二次元的人脸和正常拍摄的人脸的比例（如眼睛，鼻子，嘴，完全不一样），所以结果仅供娱乐"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 六、趣味应用\n",
    "\n",
    "当我们得到关键点的信息后，就可以进行一些趣味的应用。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 定义功能函数\n",
    "\n",
    "def show_fu(image, predicted_key_pts):\n",
    "    \"\"\"\n",
    "    展示加了贴纸的图像\n",
    "    Args：\n",
    "        image：裁剪后的图像 [224, 224, 3]\n",
    "        predicted_key_pts: 预测关键点的坐标\n",
    "    \"\"\"\n",
    "    # 计算坐标，15 和 34点的中间值\n",
    "    x = (int(predicted_key_pts[28]) + int(predicted_key_pts[66]))//2\n",
    "    y = (int(predicted_key_pts[29]) + int(predicted_key_pts[67]))//2\n",
    "\n",
    "    # 打开 春节小图\n",
    "    star_image = mpimg.imread('light.jpg')\n",
    "\n",
    "    # 处理通道\n",
    "    if(star_image.shape[2] == 4):\n",
    "        star_image = star_image[:,:,1:4]\n",
    "    \n",
    "    # 将春节小图放到原图上\n",
    "    image[y:y+len(star_image[0]), x:x+len(star_image[1]),:] = star_image\n",
    "    \n",
    "    # 展示处理后的图片\n",
    "    plt.imshow(image.astype('uint8'))\n",
    "\n",
    "    # 展示关键点信息\n",
    "    for i in range(len(predicted_key_pts)//2,):\n",
    "        plt.scatter(predicted_key_pts[i*2], predicted_key_pts[i*2+1], s=20, marker='.', c='m') # 展示关键点信息\n",
    "\n",
    "\n",
    "def custom_output(test_images, test_outputs, batch_size=1, h=20, w=10):\n",
    "    \"\"\"\n",
    "    展示图像，预测关键点\n",
    "    Args：\n",
    "        test_images：裁剪后的图像 [224, 224, 3]\n",
    "        test_outputs: 模型的输出\n",
    "        batch_size: 批大小\n",
    "        h: 展示的图像高\n",
    "        w: 展示的图像宽\n",
    "    \"\"\"\n",
    "\n",
    "    if len(test_images.shape) == 3:\n",
    "        test_images = np.array([test_images])\n",
    "\n",
    "    for i in range(batch_size):\n",
    "\n",
    "        plt.figure(figsize=(h, w))\n",
    "        ax = plt.subplot(1, batch_size, i+1)\n",
    "\n",
    "        # 随机裁剪后的图像\n",
    "        image = test_images[i]\n",
    "\n",
    "        # 模型的输出，未还原的预测关键点坐标值\n",
    "        predicted_key_pts = test_outputs[i]\n",
    "\n",
    "        # 还原后的真实的关键点坐标值\n",
    "        predicted_key_pts = predicted_key_pts * data_std + data_mean\n",
    "        \n",
    "        # 展示图像和关键点\n",
    "        show_fu(np.squeeze(image), predicted_key_pts)\n",
    "            \n",
    "        plt.axis('off')\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "# 读取图像\n",
    "img = mpimg.imread('xiaojiejie.jpg')\n",
    "\n",
    "# 关键点占位符\n",
    "kpt = np.ones((136, 1))\n",
    "\n",
    "transform = Compose([Resize(256), RandomCrop(224)])\n",
    "\n",
    "# 对图像先重新定义大小，并裁剪到 224*224的大小\n",
    "rgb_img, kpt = transform([img, kpt])\n",
    "\n",
    "norm = GrayNormalize()\n",
    "to_chw = ToCHW()\n",
    "\n",
    "# 对图像进行归一化和格式变换\n",
    "img, kpt = norm([rgb_img, kpt])\n",
    "img, kpt = to_chw([img, kpt])\n",
    "\n",
    "img = np.array([img], dtype='float32')\n",
    "\n",
    "# 加载保存好的模型进行预测\n",
    "# model = paddle.Model(SimpleNet())\n",
    "# model.load(checkpoints_path)\n",
    "# model.prepare()\n",
    "\n",
    "# 预测结果\n",
    "out = model.predict_batch([img])\n",
    "out = out[0].reshape((out[0].shape[0], 136, -1))\n",
    "\n",
    "# 可视化\n",
    "custom_output(rgb_img, out, batch_size=1)"
   ]
  }
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